diff --git a/torch_uncertainty/datasets/assets/__init__.py b/torch_uncertainty/datasets/assets/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/torch_uncertainty/datasets/assets/frost1.jpg b/torch_uncertainty/datasets/assets/frost1.jpg
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index 00000000..4745a0ab
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diff --git a/torch_uncertainty/datasets/assets/frost2.jpg b/torch_uncertainty/datasets/assets/frost2.jpg
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index 00000000..1e7694dc
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diff --git a/torch_uncertainty/datasets/assets/frost3.jpg b/torch_uncertainty/datasets/assets/frost3.jpg
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index 00000000..f8b0c413
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diff --git a/torch_uncertainty/datasets/assets/frost4.jpg b/torch_uncertainty/datasets/assets/frost4.jpg
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index 00000000..95dc9056
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diff --git a/torch_uncertainty/datasets/assets/frost5.jpg b/torch_uncertainty/datasets/assets/frost5.jpg
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diff --git a/torch_uncertainty/datasets/frost.py b/torch_uncertainty/datasets/frost.py
index 6aa069bb..e0ad660c 100644
--- a/torch_uncertainty/datasets/frost.py
+++ b/torch_uncertainty/datasets/frost.py
@@ -1,78 +1,36 @@
-import logging
 from collections.abc import Callable
+from importlib.abc import Traversable
+from importlib.resources import files
 from pathlib import Path
 from typing import Any
 
 from PIL import Image
 from torchvision.datasets import VisionDataset
-from torchvision.datasets.utils import (
-    check_integrity,
-    download_and_extract_archive,
-)
 
 
-def pil_loader(path: Path) -> Image.Image:
-    # open path as file to avoid ResourceWarning (https://github.com/python-pillow/Pillow/issues/835)
+def pil_loader(path: Path | Traversable) -> Image.Image:
     with path.open("rb") as f:
         img = Image.open(f)
         return img.convert("RGB")
 
 
-class FrostImages(VisionDataset):  # TODO: Use ImageFolder
-    url = "https://zenodo.org/records/10438904/files/frost.zip"
-    zip_md5 = "d82f29f620d43a68e71e34b28f7c35cb"
-    filename = "frost.zip"
-    samples = [
-        "frost1.png",
-        "frost2.png",
-        "frost3.jpg",
-        "frost4.jpg",
-        "frost5.jpg",
-    ]
+FROST_ASSETS_MOD = "torch_uncertainty.datasets.assets"
 
+
+class FrostImages(VisionDataset):
     def __init__(
         self,
-        root: str | Path,
-        transform: Callable[..., Any] | None,
+        transform: Callable[..., Any] | None = None,
         target_transform: Callable[..., Any] | None = None,
-        download: bool = False,
     ) -> None:
-        self.root = Path(root)
-
-        if download:
-            self.download()
-
-        if not self._check_integrity():
-            raise RuntimeError(
-                "Dataset not found or corrupted. You can use download=True to download it."
-            )
-
         super().__init__(
-            self.root / "frost",
+            FROST_ASSETS_MOD,
             transform=transform,
             target_transform=target_transform,
         )
         self.loader = pil_loader
-
-    def _check_integrity(self) -> bool:
-        fpath = self.root / self.filename
-        return check_integrity(
-            fpath,
-            self.zip_md5,
-        )
-
-    def download(self) -> None:
-        if self._check_integrity():
-            logging.info("Files already downloaded and verified")
-            return
-
-        download_and_extract_archive(
-            self.url,
-            download_root=self.root,
-            filename=self.filename,
-            md5=self.zip_md5,
-        )
-        logging.info("Downloaded %s to %s.", self.filename, self.root)
+        sample_path = files(FROST_ASSETS_MOD)
+        self.samples = [sample_path.joinpath(f"frost{i}.jpg") for i in range(1, 6)]
 
     def __getitem__(self, index: int) -> Any:
         """Get the samples of the dataset.
@@ -83,8 +41,7 @@ def __getitem__(self, index: int) -> Any:
         Returns:
             tuple: (sample, target) where target is class_index of the target class.
         """
-        path = self.root / self.samples[index]
-        sample = self.loader(path)
+        sample = self.loader(self.samples[index])
         if self.transform is not None:
             sample = self.transform(sample)
         return sample